Data Extraction with Python Course: From Beginner to Expert

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From 31 $ /h

This comprehensive course on data mining with Python will teach you how to collect, analyze and leverage data from different sources. Through practical examples and real-world projects, you'll learn how to use Python to automate data collection, extract relevant insights, and transform raw data into actionable insights.

Write me description for apprentices website development course

Here is a course description for Apprentices on website development. This description is designed to attract learners interested in learning how to create websites, by highlighting the skills they will learn and the benefits they will gain from it.

Course Title: Website Development: From Beginner to Expert

Description:

Learn how to create professional websites with our comprehensive website development course, designed for learners of all levels. Whether you're a beginner looking to learn the basics or a developer looking to deepen your skills, this course will guide you through every step of the process of creating modern, interactive websites.

Course content :

Introduction to Web Development:

Understand how the web works
Introduction to HTML and CSS
Creating your first web page
Advanced CSS and Responsive Design:

Layout with Flexbox and Grid
Responsive site design for all devices
Introduction to CSS preprocessors (Sass, LESS)
JavaScript and Client-Side Programming:

JavaScript Basics
DOM manipulation
Introduction to JavaScript libraries (jQuery, React)
Server Side Development:

Introduction to Node.js
Creating a REST API
Connection to a database (MongoDB, SQL)
Modern Frameworks and Tools:

Discovery of popular frameworks (Vue.js, Angular)
Using package managers (npm, Yarn)
Introduction to Git and GitHub for version management
Security and Optimization of Websites:

Essential web security practices
Optimizing website performance
SEO techniques for better SEO
Final Project: Creation of a Complete Website:

Planning and design of your project
Development and launch of the site
Review and continuous improvement
Why Choose this Course?

Hands-on Learning: Work on real-world projects to gain hands-on experience.
Personalized Support: Receive personalized support from your instructor to progress at your own pace.
Current Skills: Learn the latest and most in-demand technologies and tools on the market.
Flexibility: Courses available online and in person, tailored to your schedule.
Prerequisite:

No prior knowledge is required, although basic familiarity with using a computer is recommended.

Please let me know if you would like to customize this description further or if you have any specific items you would like to include!

Course Data Extraction Course with Python
Here is a course description for Learners on data extraction with Python. This course is designed to guide learners in learning basic and advanced data mining techniques, using the Python language, which is widely recognized for its power and ease of use.

Course Title: Data Extraction with Python: From Beginner to Expert

Description:

This comprehensive course on data mining with Python will teach you how to collect, analyze and leverage data from different sources. Through practical examples and real-world projects, you'll learn how to use Python to automate data collection, extract relevant insights, and transform raw data into actionable insights.

Course content :

Introduction to Data Extraction:

Concepts and Importance of Data Mining
Overview of Python Libraries for Data Extraction
Python Fundamentals:

Basic syntax and data structures
Introduction to modules and libraries
Data Manipulation with Pandas:

Loading, cleaning and transforming data
Data analysis and descriptive statistics
Web Scraping with Python:

Using BeautifulSoup to extract data from web pages
Automating scraping with Selenium
Managing requests and web APIs with Requests
Working with Structured Data:

Extracting data from CSV, JSON, and XML files
Connecting and extracting data from SQL databases
Use of Unstructured Data:

Text analysis and natural language processing (NLP)
Extracting data from PDF files and other documents
Advanced Extraction Techniques:

Introduction to machine learning for data mining
Using Libraries Like Scrapy for Complex Projects
Final Project: Putting Data Extraction into Practice:

Planning and Executing a Data Extraction Project
Presentation and visualization of results
Why Choose this Course?

Practical Approach: Each lesson is accompanied by practical exercises to strengthen your skills.
Python Expertise: Develop proficiency in Python, an essential language for data science.
Concrete Projects: Work on projects that reflect real industry challenges.
Flexibility: Courses available online or in person, depending on your convenience.

Prerequisite:

No prior programming knowledge is required. This course is open to beginners looking to enter the world of data mining.

Location

Online from Morocco

About Me

Passionate about new technologies and innovation, I began my career after in-depth studies in Rabat and France, where I acquired solid training in management, communication and digital.
I had the chance to work in Morocco and France, which allowed me to develop a global perspective and great adaptability.
Key skills :

Project Management: PMP certified, with expertise in the planning and execution of complex projects.
Strategic Communication: Creation and implementation of targeted communication campaigns to achieve measurable results.
Digital Transformation: Development and deployment of innovative digital solutions to meet the challenges of the public and private sector.

Vision :
I believe that technology and innovation are key drivers of progress, and I strive to use my skills to drive positive transformation in the organizations I work with. I'm always looking for new opportunities to learn and collaborate with other technology and innovation enthusiasts.

Education

University of Haute Alsace
School of Information Sciences
PMP certificate
University of Aix Marseille
Computer scientist
Documentalist
Digitalist
Communication Specialist

Experience / Qualifications

University of Haute Alsace
School of Information Sciences
PMP certificate
University of Aix Marseille
Computer scientist
Documentalist
Digitalist
Communication Specialist

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

French

Arabic

English

Skills

Python

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Website Development Course - From Beginner to Expert

31 $ /h

Learn how to create professional websites with our comprehensive website development course, designed for learners of all levels. Whether you're a beginner looking to learn the basics or a developer looking to deepen your skills, this course will guide you through every step of the process of creating modern, interactive websites.
Why Choose this Course?

Hands-on Learning: Work on real-world projects to gain hands-on experience.
Personalized Support: Receive personalized support from your instructor to progress at your own pace.
Current Skills: Learn the latest and most in-demand technologies and tools on the market.
Flexibility: Courses available online and in person, tailored to your schedule.

Prerequisite:

No prior knowledge is required, although basic familiarity with using a computer is recommended.

Matías

4.88

(85)

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

Adam

4.88

(85)

Learn to code with method and logic
Whether it's to succeed in the NSI (Digital Sciences and Technology) specialization in high school, design personal projects, or prepare for higher scientific studies, mastering code relies on solid algorithmic thinking. I help students understand the structure of programming languages and the logic of data.

Subject areas and languages taught:

Algorithms & Logic: Designing data structures and solving problems.

Programming Languages: Python, C/C++, C# and Java.

Data Management: Analysis and SQL queries / databases.

Basic Web Development: HTML & CSS for creating structured pages.

The goal is to take the student from simply writing code to true autonomy in development.

Ahmed

4.88

(85)

Python is the programming language these days. It is simple, nice and almost all modern applications use it. With Python, we can now create artificial intelligence models that reduce human effort and give us more accurate and reliable results. The Java and C languages are not lacking in importance, they also make it possible to create applications optimized in terms of RAM.

The composition of the course depends on the level of the student and his own objectives. The first session is a one-hour evaluation session which allows the diagnosis of the level and the needs of the student. From this diagnosis we establish together a program that we will follow during our course.

Generally the course allows the student to assimilate:
* Predefined Data Types & Variables;
* Conditional Structures & Loops;
* Functions ;
* Object-oriented programming (OOP);
* Digital engineering;
* An introduction to databases (Examples and uses)
* Relational Algebra
* LDD, LCD, LMD, LCT
* SQL queries (SELECT, UPDATE, ...)
* Creation of a database and automation of queries using the Python language
* Handling files (TXT, Excel, CSV, JSON, Word);
* Data science;
* Introduction and some applications of Artificial Intelligence.

I am waiting for you to start this adventure.

Amin

4.88

(85)

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

Salah

4.88

(85)

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Vikash

4.88

(85)

Master the art of web design and development with personalized 1-to-1 online tutoring in Python, PHP, and Other server side programming languages.

Whether you're a beginner looking to build your first web project or an experienced developer aiming to refine your skills, our customized tutoring sessions are designed to help you achieve your goals.

I really happy to teach people who will really want to part of my lesson.

My teaching style is the step by step oriented. We will start from basic and move towards advanced topics.

A very warm welcome my students on apprentus.com

Wish you all the best.

Baia

4.88

(85)

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work.

Topics include:
Python fundamentals through a finance lens (data structures, functions, control flow).
Working with financial data and datasets.
Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.

Ali

4.88

(85)

I teach machine learning, AI and Python online to university students, postgraduates, career changers and serious beginners across the UK and Europe. Lessons are in English.

I hold an MSc in Electronics and Electrical Engineering with Distinction and I teach as a Visiting Lecturer on a Master's level module covering data analytics, machine learning and generative AI at a UK university. I also have two accepted international conference papers on deep learning for image classification. I set and mark postgraduate assignments myself, so I know where marks are won and lost on this kind of work.

Who this is for

Undergraduates and postgraduates on AI, ML, data science or computer science modules at any European university. Final year, Master's and thesis students working on a machine learning project. IB and A Level students moving into computing or engineering. Professionals retraining for data roles. Complete beginners who want to learn Python properly rather than copying it from videos.

I work with students on UK, IB and continental European programmes. I have tutored engineering students in Germany and international school students across several countries, so an unfamiliar syllabus or a module taught in a different structure is not a problem. Send me the material and I will work from it.

What we cover

Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation.

How lessons work

Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic.

In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions.

Practical details

Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe.

Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.

Vikas

4.88

(85)

Experienced Programming Language Tutor with 10+ years of teaching experience in Python, HTML, CSS, and JavaScript. I provide step-by-step, practical-oriented learning designed for beginners, students, and aspiring developers. My teaching approach focuses on real-world projects, hands-on coding exercises, and easy-to-understand explanations to help students build strong programming skills confidently.

What You Will Learn:
Python Programming Fundamentals to Advanced Concepts
HTML for Website Structure
CSS for Modern Web Design & Styling
JavaScript for Interactive Web Development
Real Projects and Practical Assignments
Debugging and Problem-Solving Techniques
Frontend Development Basics
Teaching Style:
Step-by-step guidance
Beginner-friendly explanations
Practical and project-based learning
Live coding sessions
Personalized support and doubt clearing
Easy learning methods with real examples

Perfect for:

School & college students
Beginners in coding
Future web developers
Anyone wanting practical programming skills

Pallavi

4.88

(85)

Learn Python with a structured, hands-on approach! Whether you are a absolute beginner looking to start coding, a student needing help with coursework, or a professional aiming to automate tasks, these lessons are tailored for you.What we will cover:
Core Fundamentals: Variables, loops, functions, and data structures.Object-Oriented Programming: Building reusable and clean code.Real-World Projects: Creating scripts, data analysis, or web scraping based on your goals.

Problem Solving: Learning how to debug and think like a programmer. Lessons are highly interactive. We will write code together from day one, and you will receive practical exercises after every session to build your confidence.

Michal

4.88

(85)

This class is for people starting from zero or close to it: school students taking informatics, first-year university students struggling with their programming course, or adults who want to learn to code and don't know where to begin.

We work through the fundamentals properly rather than rushing: variables, conditions, loops, functions, lists and dictionaries, reading and writing files, and how to break a problem into steps before you write a single line. We go at your pace, and you write the code yourself while I guide you, because watching someone else type teaches you nothing.

If you're stuck on a specific university assignment or school project, bring it and we'll work through it together. I won't do it for you, but I'll make sure you understand it.

I teach in English and Polish.

Azhar

4.88

(85)

Are you interested in learning Python but don't know where to start? This course is designed to help you understand the fundamentals of Python programming in a simple, practical, and enjoyable way.

Python is one of the most popular programming languages in the world. It is widely used in software development, automation, data analysis, artificial intelligence, and web development.

Whether you are a complete beginner, a student, or someone looking to develop new technical skills, these lessons will help you build a strong foundation in programming.

You will learn
1. Introduction to Python
2. Python Fundamentals
3. Conditional Statements and Loops
4. Working with Data
5. Functions and Practical Programming
6. Mini Projects

Aditya

4.88

(85)

Python class from basics to the advance from the students perspective with proper deep understanding of concepts.
Topics to be covered:
Basic Python and Programming fundamentals
Memory Management
OOPs
Data Structure and Algorithms
Libraries
Data analysis (using libraries Pandas, Numpy, etc.)
AI (ML, DL, RL, LLMs, RAG, Langchain etc.)

Maths using visualization of geometry, algebra, calculus, etc.

Abel

4.88

(85)

I'm Abel, a Computer Science specialist based in Canterbury, Kent. I hold a BSc in Artificial Intelligence from the University of Kent and an MSc in Artificial Intelligence from City St George's, University of London, and I'm now a PhD researcher at the University of Kent, working on AI and reinforcement learning. I've tutored GCSE, IGCSE and A-level Computer Science since 2021.

Who I help: Year 9 to Year 13 students on AQA, OCR, Edexcel and Cambridge courses, including Cambridge IGCSE. Some are aiming for a 9 and keep dropping marks on the long questions. Others are stuck at a 4 or 5 and have lost confidence with programming. Both get a plan.

How lessons work: we meet one-to-one on Google Meet with a shared whiteboard and a live Python editor. Theory is taught through exam questions rather than slides, so every topic links to the marks it earns. For programming we work the way the exam does: plan it, write it on paper, then type it in and test it. Students learn to trace code by hand, spot their own bugs and structure the long-answer questions examiners reward.

What parents get: a diagnostic opening lesson with a plan for the term, and a short written update after every lesson covering what we did, what went well and the homework set. One recent Year 10 student went from 50% to 81% between one school test and the next.

I teach online across the UK, with weekday evening and weekend slots, and daytime lessons by arrangement. I'm happy to work alongside what school is doing, including mock preparation and A-level NEA support.

Zeyad

4.88

(85)

Computer Programming is essential for nearly every child and adult. Everyday we interact with computers and applications, but we never understood how they operate or how they were made.

In this class you will learn how to create your own programs and websites, that can be used in the future for a source of income, or providing an operating application for the public.